Sascha Mücke

29 papers B 3Journal 15Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Explaining quantum circuits with Shapley values: towards explainable quantum machine learning.
Quantum Mach. Intell.
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2025 J jnl
Kernel
CoRR
Thore Gerlach, Sascha Mücke, Christian Bauckhage
2025 J jnl
On the Impact of Weight Discretization in QUBO-Based SVM Training.
CoRR
Sascha Mücke
2025 J jnl
Optimum-preserving QUBO parameter compression.
Quantum Mach. Intell.
Sascha Mücke, Thore Gerlach, Nico Piatkowski
2025 J jnl
QUBOLite: A lightweigth Python toolkit for QUBO.
CoRR
Sascha Mücke, Thore Gerlach, Nico Piatkowski, Lukas Theißinger
2025 J jnl
Quantum Adiabatic Generation of Human-Like Passwords.
CoRR
Sascha Mücke, Raoul Heese, Thore Gerlach, David Biesner, Loong Kuan Lee, Nico Piatkowski
2025 — —
Quantum-Classical Optimization in Machine Learning.
Sascha Mücke
2024 — conf
A Simple QUBO Formulation of Sudoku.
GECCO Companion
Sascha Mücke
2024 — conf
Investigating the Relation Between Problem Hardness and QUBO Properties.
IDA (2)
Thore Gerlach, Sascha Mücke
2024 J jnl
On the effects of biased quantum random numbers on the initialization of artificial neural networks.
Mach. Learn.
Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
2024 — conf
Real-Part Quantum Support Vector Machines.
ECML/PKDD (8)
Nico Piatkowski, Sascha Mücke
2023 — conf
Efficient Light Source Placement using Quantum Computing.
LWDA
Sascha Mücke, Thore Gerlach
2023 J jnl
Explainable Quantum Machine Learning.
CoRR
Raoul Heese, Thore Gerlach, Sascha Mücke, Sabine Müller, Matthias Jakobs, Nico Piatkowski
2023 J jnl
Faster QUBO Brute-Force Solving using Gray Code.
CoRR
Sascha Mücke
2023 J jnl
Feature selection on quantum computers.
Quantum Mach. Intell.
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2023 B conf
Shapley Values with Uncertain Value Functions.
IDA
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2023 J jnl
Shapley Values with Uncertain Value Functions.
CoRR
Raoul Heese, Sascha Mücke, Matthias Jakobs, Thore Gerlach, Nico Piatkowski
2022 — conf
A Unified Framework for Assessing Energy Efficiency of Machine Learning.
PKDD/ECML Workshops (1)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2022 — conf
Check Mate: A Sanity Check for Trustworthy AI.
LWDA
Sascha Mücke, Lukas Pfahler
2022 B conf
Quantum Circuit Evolution on NISQ Devices.
CEC
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Raoul Heese, Christian Bauckhage, Nico Piatkowski
2022 J jnl
Quantum Feature Selection.
CoRR
Sascha Mücke, Raoul Heese, Sabine Müller, Moritz Wolter, Nico Piatkowski
2022 B conf
Quantum- Inspired Structure- Preserving Probabilistic Inference.
CEC
Sascha Mücke, Nico Piatkowski
2022 J jnl
Yes we care!-Certification for machine learning methods through the care label framework.
Frontiers Artif. Intell.
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
2021 — conf
Structure Search for Normalizing Flows.
LWDA
Felix Gonsior, Sascha Mücke, Katharina Morik
2021 J jnl
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
CoRR
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
2020 J jnl
Gradient-free quantum optimization on NISQ devices.
CoRR
Lukas Franken, Bogdan Georgiev, Sascha Mücke, Moritz Wolter, Nico Piatkowski, Christian Bauckhage
2020 — conf
Solving Abstract Reasoning Tasks with Grammatical Evolution.
LWDA
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2019 — conf
Hardware Acceleration of Machine Learning Beyond Linear Algebra.
PKDD/ECML Workshops (1)
Sascha Mücke, Nico Piatkowski, Katharina Morik
2019 — conf
Learning Bit by Bit: Extracting the Essence of Machine Learning.
LWDA
Sascha Mücke, Nico Piatkowski, Katharina Morik